Booz Allen is looking for a Data Engineer to help clients find answers in their data to impact important missions, by organizing and making disparate data meaningful through advanced technology solutions and data engineering activities.
Requirements
- 2+ years of experience in data engineering including architecture and modeling
- 2+ years of experience designing data pipelines with Python for retrieving, parsing, and processing structured and unstructured data
- 2+ years of experience developing scalable ETL or ELT workflows for reporting and analytics
- Experience with a cloud platform such as AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience with Operational Data Stores (ODS) in database administration, including tuning, indexing, and access controls
- Experience with AWS Glue and AWS EMR
Responsibilities
- overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful
- guide data engineering activities
- oversee the assessment, design, building, and maintenance of scalable platforms for your clients
- designing data pipelines with Python for retrieving, parsing, and processing structured and unstructured data
- developing scalable ETL or ELT workflows for reporting and analytics
- Experience with a cloud platform such as AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Other
- U.S. citizenship is required
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree
- 2+ years of experience with Agile engineering practices
- Experience modernizing financial systems
